{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bb85d27f-e18b-4edf-a6f1-da6695a75046",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "from sklearn.metrics import silhouette_score\n",
    "from sklearn.cluster import KMeans\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm  \n",
    "from sklearn.cluster import MiniBatchKMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c5fcbf78-c7a0-427b-923b-21b60a79820a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据准备\n",
    "target = 1\n",
    "data_name = ['0618', '0854', '1066'][target - 1]\n",
    "#基于领域知识\n",
    "features_bgr1x1 = np.load(f'./Features/{data_name}_BGR1x1_featuers.npy')\n",
    "features_hsv1x1 = np.load(f'./Features/{data_name}_HSV1x1_features.npy')\n",
    "features_bgr3x3 = np.load(f'./Features/{data_name}_BGR3x3_featuers.npy')\n",
    "features_hsv3x3 = np.load(f'./Features/{data_name}_HSV3x3_features.npy')\n",
    "features_hog = np.load(f'./Features/{data_name}_HOG_featuers.npy')\n",
    "#基于数据驱动\n",
    "features_pca = np.load(f'./Features/{data_name}_PCA_features.npy')\n",
    "features_DicL = np.load(f'./Features/{data_name}_DictL_features.npy')\n",
    "\n",
    "# 将数据从 NumPy 转换为 PyTorch 张量，并将其转移到 GPU\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "features_bgr1x1 = torch.tensor(features_bgr1x1, dtype=torch.float32, device=device)\n",
    "features_hsv1x1 = torch.tensor(features_hsv1x1, dtype=torch.float32, device=device)\n",
    "features_bgr3x3 = torch.tensor(features_bgr3x3, dtype=torch.float32, device=device)\n",
    "features_hsv3x3 = torch.tensor(features_hsv3x3, dtype=torch.float32, device=device)\n",
    "features_hog = torch.tensor(features_hog, dtype=torch.float32, device=device)\n",
    "\n",
    "features_pca = torch.tensor(features_pca, dtype=torch.float32, device=device)\n",
    "features_DicL = torch.tensor(features_DicL, dtype=torch.float32, device=device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ad44125e-912c-47ad-945b-5bdc5206c92f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def optimal_c_value(features, max_c=15):\n",
    "    sse = []  # 存储SSE（聚类内误差平方和）\n",
    "    \n",
    "    # 计算不同C值下的SSE，Elbow方法选择合适的C值\n",
    "    for c in tqdm(range(2, max_c + 1), desc=\"Calculating optimal C\"):\n",
    "        kmeans = MiniBatchKMeans(n_clusters=c, random_state=42, batch_size=200)\n",
    "        kmeans.fit(features.cpu().numpy())  # 转换为 CPU 上的 NumPy 数组\n",
    "        sse.append(kmeans.inertia_)  # 读取当前聚类的SSE存入列表\n",
    "\n",
    "    # 绘制 Elbow 图，选择拐点\n",
    "    plt.plot(range(2, max_c + 1), sse)\n",
    "    plt.xlabel('Number of clusters (C)')\n",
    "    plt.ylabel('SSE')\n",
    "    plt.title('Elbow Method For Optimal C')\n",
    "    plt.show()\n",
    "\n",
    "    # 找到 Elbow 的最佳 C 值\n",
    "    optimal_c = np.argmin(np.diff(sse)) + 2  # 选择拐点的前一个值\n",
    "    return optimal_c\n",
    "\n",
    "def Kmeans(features, optimal_c):\n",
    "    # 使用 PyTorch 进行 GPU 加速的 KMeans 聚类\n",
    "    features_gpu = features.to(device)\n",
    "    num_samples, num_features = features_gpu.shape\n",
    "    kmeans = KMeans(n_clusters=optimal_c, random_state=42)\n",
    "    labels = kmeans.fit_predict(features_gpu.cpu().numpy())  # 将数据从 GPU 转回 CPU 进行处理\n",
    "\n",
    "    centroids = torch.tensor(kmeans.cluster_centers_, dtype=torch.float32, device=device)\n",
    "\n",
    "    with_d, between_d, cluster_score = cluster_eval(features_gpu, labels, optimal_c, centroids)\n",
    "    print(\"features.shape: \", features.shape)\n",
    "    print('类内间距: ', with_d)\n",
    "    print('类外间距: ', between_d)\n",
    "    print('聚类效果评价参数: ', cluster_score)\n",
    "\n",
    "    return kmeans, labels\n",
    "\n",
    "def cluster_eval(data, labels, optimal_c, centroids):\n",
    "    K = optimal_c\n",
    "\n",
    "    # 计算类内间距\n",
    "    within_distances = []\n",
    "    for i in range(K):\n",
    "        cluster_points = data[labels == i]\n",
    "        centroid = centroids[i]\n",
    "\n",
    "        # 计算每个点到中心的平均距离\n",
    "        if cluster_points.shape[0] > 0:\n",
    "            distance = torch.mean(torch.norm(cluster_points - centroid, dim=1))\n",
    "            within_distances.append(distance.item())\n",
    "\n",
    "    total_within_distance = torch.mean(torch.tensor(within_distances, device=device)).item()\n",
    "\n",
    "    # 计算类外间距\n",
    "    between_distances = []\n",
    "    for i in range(K):\n",
    "        for j in range(i + 1, K):\n",
    "            distance = torch.norm(centroids[i] - centroids[j])\n",
    "            between_distances.append(distance.item())\n",
    "\n",
    "    total_between_distance = torch.mean(torch.tensor(between_distances, device=device)).item()\n",
    "\n",
    "    # 使用最大类间距（可选）\n",
    "    max_between_distance = torch.max(torch.tensor(between_distances)).item()\n",
    "\n",
    "    # 聚类效果参数\n",
    "    cluster_score = total_between_distance / total_within_distance\n",
    "\n",
    "    return total_within_distance, total_between_distance, cluster_score\n",
    "\n",
    "    \n",
    "# def cluster_eval(data, labels, optimal_c, centroids):\n",
    "#     K = optimal_c\n",
    "\n",
    "#     # 计算类内间距\n",
    "#     within_distances = []\n",
    "#     for i in range(K):\n",
    "#         cluster_points = data[labels == i]\n",
    "#         centroid = centroids[i]\n",
    "\n",
    "#         # 计算每个点到中心的距离并求和\n",
    "#         distance = torch.sum(torch.norm(cluster_points - centroid, dim=1))  # 使用 PyTorch 的 norm 函数\n",
    "#         within_distances.append(distance)\n",
    "\n",
    "#     total_within_distance = torch.mean(torch.tensor(within_distances, device=device)).item()\n",
    "\n",
    "#     # 计算类外间距\n",
    "#     between_distances = []\n",
    "#     for i in range(K):\n",
    "#         for j in range(i + 1, K):\n",
    "#             distance = torch.norm(centroids[i] - centroids[j])  # 计算中心点之间的距离\n",
    "#             between_distances.append(distance.item())\n",
    "\n",
    "#     total_between_distance = torch.mean(torch.tensor(between_distances, device=device)).item()\n",
    "\n",
    "#     cluster_score = total_between_distance / total_within_distance\n",
    "\n",
    "#     return total_within_distance, total_between_distance, cluster_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e52dce36-18f9-4412-8349-2d0e7709d69d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BGR1x1特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 53.39it/s\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ng8GAl156CaNHj8b27dtlfgdUW5s3bzadLbhZ//79TWczqpKYmIhRo0bhgQceQHR0NL755hs8+uij6NatGwCgW7dumDhxIpYtW4bs7GyEhobi0KFDWLVqFSIiIir07Rk0aBDWrl2LLl26wNXVFQDQo0cPODg44MyZM1VeUrodf39/s2djVWXJkiUYOHAgunTpgilTpqBVq1ZIS0tDdHQ0Ll++jGPHjgEAunfvDqVSiQULFiAnJwdqtRr33nsvPDw8alzTrFmz8N1332HYsGF48cUX4ebmhlWrViExMRE//fQTFIqy/4NNmTIF//3vfxEZGYkjR47A29sba9asgb29/R0di8p89NFHGDZsGEJCQvDUU0+hsLAQn332GZydnWt03Kri7u6OdevWYfjw4ejRo0eFEYrPnTuHRYsWVXo7dHFxMYYOHYqxY8fi9OnT+PzzzzFw4ECMGjXKtEzPnj2xdOlSvPfee2jTpg08PDxw77333nG91RkxYgTWrFkDZ2dnBAUFITo6Gn/99Rfc3d3vaHutW7dGVFQUHnnkEXTs2NFshOL9+/fjxx9/rDDyMtFtyXinlkUBINavX296vWnTJgFAODg4mE02NjZi7NixQgghpkyZIgCI06dPm9Y7cuSIACASEhIa+i3QHaruFmHcchssqrgV/OTJk2L06NHCyclJuLq6imnTponCwkKz/ZSUlIj/+7//E4GBgUKlUgk/Pz8xe/Zss9utyy1ZskQAEM8995xZe1hYmAAgtm3bVqP3Vn4reE3e/823ggshxPnz50VkZKTw8vISKpVKtGjRQowYMUKsW7fObLnly5eLVq1aCaVSaXbrb1X7Dg0NrXDb8vnz58Xo0aOFi4uL0Gg0ok+fPmLTpk0V1k1KShKjRo0S9vb2olmzZmL69Oliy5YttboV/Nb3eau//vpLDBgwQNjZ2QmtVitGjhwpTp48abZM+ed+7dq1ard1q8TERDFlyhTRsmVLoVKpRLNmzcSoUaPMboO/td5du3aJp59+Wri6ugpHR0cxYcIEs1vVhRAiNTVVDB8+XDg5OQkApuNb1a3gnTp1qrC/qj4vAGLq1Kmm11lZWWLSpEmiWbNmwtHRUYSHh4uEhATh7+8vJk6caFquJreC3+zMmTNiypQpIiAgQNja2gonJycxYMAA8dlnn1X6d4SoOpIQVtKz7y5JkoT169cjIiICAPD9999jwoQJiI+Pr9DJztHREV5eXpgzZw7mzZtndsq4sLAQ9vb2+PPPP3Hfffc15FsgIiuycuVKTJo0CTExMVb5WBCi+sTLUlUIDg6GwWBAenp6lXelDBgwAKWlpTh//rxpSPUzZ84AgFkHUSIiImo4TTrc5OXl4dy5c6bXiYmJiI2NhZubG9q1a4cJEyYgMjISCxcuRHBwMK5du4Zt27aha9euGD58OMLCwtCjRw88+eST+PTTT2E0GjF16lTcd999aNeunYzvjIiIqOlq0ndLHT58GMHBwQgODgZQNnpscHCw6Y6FFStWIDIyEi+//DLat2+PiIgIxMTEmAYmUygU+PXXX9GsWTMMHjwYw4cPR8eOHbF27VrZ3hMREVFTxz43REREZFWa9JkbIiIisj4MN0RERGRVmlyHYqPRiKtXr8LJyalBhywnIiKiOyeEQG5uLnx8fEyDe1alyYWbq1evVnjyLRERETUOycnJ8PX1rXaZJhdunJycAJQdHK1WK3M1REREVBM6nQ5+fn6m7/HqNLlwU34pSqvVMtwQERE1MjXpUsIOxURERGRVZA03S5cuRdeuXU1nUUJCQrB58+Zq1/nxxx/RoUMHaDQadOnSBb///nsDVUtERESNgazhxtfXFx988AGOHDmCw4cP495778VDDz2E+Pj4Spffv38/xo8fj6eeegp///03IiIiEBERgbi4uAaunIiIiCyVxY1Q7Obmho8++ghPPfVUhXmPPPII8vPzsWnTJlNbv3790L17d3zxxRc12r5Op4OzszNycnLY54aIiKiRqM33t8X0uTEYDFi7di3y8/MREhJS6TLR0dEICwszawsPD0d0dHSV29Xr9dDpdGYTERERWS/Zw82JEyfg6OgItVqNZ599FuvXr0dQUFCly6ampsLT09OszdPTE6mpqVVuf/78+XB2djZNHOOGiIjIuskebtq3b4/Y2FgcPHgQzz33HCZOnIiTJ0/W2fZnz56NnJwc05ScnFxn2yYiIiLLI/s4N7a2tmjTpg0AoGfPnoiJicGiRYvw5ZdfVljWy8sLaWlpZm1paWnw8vKqcvtqtRpqtbpuiyYiIiKLJfuZm1sZjUbo9fpK54WEhGDbtm1mbVu3bq2yjw4RERE1PbKeuZk9ezaGDRuGli1bIjc3F1FRUdi5cyf++OMPAEBkZCRatGiB+fPnAwCmT5+O0NBQLFy4EMOHD8fatWtx+PBhLFu2TM63QURERBZE1nCTnp6OyMhIpKSkwNnZGV27dsUff/yB++67DwBw6dIlsyd/9u/fH1FRUfj3v/+NN954A23btsWGDRvQuXNnud4CERERWRiLG+emvnGcGyIiosanUY5zYw0y84txOjVX7jKIiIiaNIabOvJnfCp6vLsVr607JncpRERETRrDTR3p4usMADhxJQe6ohKZqyEiImq6GG7qiLezHQLc7WEUQExiptzlEBERNVkMN3UopLU7ACD6/HWZKyEiImq6GG7qUL9WZeHmQCLDDRERkVwYbupQyI1wE39Vh5wC9rshIiKSA8NNHfLQatCquQOEAA7y7A0REZEsGG7qWPnZmwMX2KmYiIhIDgw3day83030BZ65ISIikgPDTR0rDzenUnTIyi+WuRoiIqKmh+GmjjV3UqOthyMA9rshIiKSA8NNPejHfjdERESyYbipBxzMj4iISD4MN/Wg/MzN6bRcXM/Ty1wNERFR08JwUw/cHGzRwcsJAHCQz5kiIiJqUAw39cR0SzgvTRERETUohpt6wvFuiIiI5MFwU0/6tXKDJAHn0vOQnlskdzlERERNBsNNPXGxt0UHLy0A4CBvCSciImowDDf1KISXpoiIiBocw009Kh/v5gA7FRMRETUYhpt61CewrN/NhYx8pOnY74aIiKghMNzUI2c7FTr5lPW7OcBLU0RERA2C4aaehXC8GyIiogbFcFPPTP1ueOaGiIioQTDc1LNeAW5QSMDF6wVIySmUuxwiIiKrx3BTz7QaFbq0cAbAS1NEREQNgeGmAfRrzX43REREDYXhpgGUdyo+kMhwQ0REVN8YbhpArwA3KBUSkjMLcTmrQO5yiIiIrBrDTQNwVNugqy/73RARETUEhpsGYro0xYdoEhER1SuGmwbSr9U/490IIWSuhoiIyHox3DSQXgGuUCklXMkuRHImx7shIiKqLww3DcTe1gbdfF0AANEXMuQthoiIyIox3DSgfx7FwH43RERE9YXhpgH1u+khmux3Q0REVD8YbhpQT39X2CoVSNUV4eJ1jndDRERUHxhuGpBGpUT3li4A+JRwIiKi+sJw08BuvjRFREREdY/hpoGVD+YXzfFuiIiI6gXDTQMLbukCWxsFruXqcf5avtzlEBERWR2GmwamUSnRg/1uiIiI6g3DjQxCWjUDUHZpioiIiOoWw40MygfzO8h+N0RERHWO4UYG3fycoVEpkJFXjHPpeXKXQ0REZFUYbmSgtlGip78rAF6aIiIiqmsMNzIJ4Xg3RERE9ULWcDN//nz07t0bTk5O8PDwQEREBE6fPl3tOitXroQkSWaTRqNpoIrrzj8P0bwOo5H9boiIiOqKrOFm165dmDp1Kg4cOICtW7eipKQE999/P/Lzqx//RavVIiUlxTQlJSU1UMV1p0sLF9iplMgqKMGZ9Fy5yyEiIrIaNnLufMuWLWavV65cCQ8PDxw5cgSDBw+ucj1JkuDl5VXf5dUrWxsFegW4Ys/ZDESfv44OXlq5SyIiIrIKFtXnJicnBwDg5uZW7XJ5eXnw9/eHn58fHnroIcTHxzdEeXWu/NIU+90QERHVHYsJN0ajETNmzMCAAQPQuXPnKpdr3749vv76a2zcuBHffPMNjEYj+vfvj8uXL1e6vF6vh06nM5ssRXmn4oOJmex3Q0REVEcsJtxMnToVcXFxWLt2bbXLhYSEIDIyEt27d0doaCh+/vlnNG/eHF9++WWly8+fPx/Ozs6myc/Prz7KvyOdWzjDwVaJnMISnEq1nNBFRETUmFlEuJk2bRo2bdqEHTt2wNfXt1brqlQqBAcH49y5c5XOnz17NnJyckxTcnJyXZRcJ1RKBXoHll2C46UpIiKiuiFruBFCYNq0aVi/fj22b9+OwMDAWm/DYDDgxIkT8Pb2rnS+Wq2GVqs1myxJ+aWpAxcyZa6EiIjIOsh6t9TUqVMRFRWFjRs3wsnJCampqQAAZ2dn2NnZAQAiIyPRokULzJ8/HwDwzjvvoF+/fmjTpg2ys7Px0UcfISkpCZMnT5btfdyNfqZ+N9dhMAooFZLMFRERETVusoabpUuXAgCGDBli1r5ixQo88cQTAIBLly5BofjnBFNWVhamTJmC1NRUuLq6omfPnti/fz+CgoIaquw61clHCye1DXKLSnHyqg5dfJ3lLomIiKhRk0QTeyy1TqeDs7MzcnJyLOYS1VMrY7AtIR1vPNgBTw9uLXc5REREFqc2398W0aG4qfvnUQzsd0NERHS3GG4sQHm/m0OJmSg1GGWuhoiIqHFjuLEAHb210GpskKcvRdxVjndDRER0NxhuLIBSIaFvq3+eEk5ERER3juHGQpRfmuJgfkRERHeH4cZClA/mF3MxEyXsd0NERHTHGG4sRAcvJ7jaq1BQbMDxyzlyl0NERNRoMdxYCIVCQt9A9rshIiK6Www3FqRfq7KHaDLcEBER3TmGGwsS0roZAODwxSwUl7LfDRER0Z1guLEg7Twd4eZgi8ISA45fzpa7HCIiokaJ4caCSJJkujTFW8KJiIjuDMONhSm/JTya/W6IiIjuCMONhSl/iOaRpCzoSw0yV0NERNT4MNxYmNbNHdHMUQ19qRGxl7LlLoeIiKjRYbixMGb9bnhpioiIqNYYbixQ+aUpdiomIiKqPYYbC1Teqfjv5GwUlbDfDRERUW0w3FigwGYO8HBSo7jUiKOXsuQuh4iIqFFhuLFAkiSZLk0d4KUpIiKiWmG4sVDll6YOXMiUuRIiIqLGheHGQvUz9bvJQmEx+90QERHVFMONhfJ3t4e3swYlBoEjSex3Q0REVFMMNxZKkqSbHsWQIXM1REREjQfDjQXr15r9boiIiGqL4caClZ+5OZacjXx9qczVEBERNQ4MNxbMz80eLVzsUGoUOMx+N0RERDXCcGPhTOPd8DlTRERENcJwY+HKbwnnc6aIiIhqhuHGwpWfuTlxJQd57HdDRER0Www3Fq6Fix1autnDYBSISeRdU0RERLfDcNMI/PMoBl6aIiIiuh2Gm0agX2s3AEA0ww0REdFtMdw0AiGtmgEA4q7kQFdUInM1RERElo3hphHwctYgsJkDjALsd0NERHQbDDeNRL9WNy5N8ZZwIiKiajHcNBKm8W7Y74aIiKhaDDeNRPkdUydTdMguKJa5GiIiIsvFcNNIeGg1aN3cAUIAh9jvhoiIqEoMN40IL00RERHdHsNNI1L+KAZ2KiYiIqoaw00jUn7mJiE1F1n57HdDRERUGYabRqSZoxptPRwBAAcTefaGiIioMgw3jQwvTREREVWP4aaRCWGnYiIiomox3DQyfW+EmzNpecjI08tcDRERkeVhuGlk3Bxs0cHLCQBw8ALHuyEiIroVw00j9M94NxkyV0JERGR5GG4aofJOxQd45oaIiKgChptGqG+gGyQJOJeeh/TcIrnLISIisiiyhpv58+ejd+/ecHJygoeHByIiInD69Onbrvfjjz+iQ4cO0Gg06NKlC37//fcGqNZyuNjboqOXFgDP3hAREd1K1nCza9cuTJ06FQcOHMDWrVtRUlKC+++/H/n5+VWus3//fowfPx5PPfUU/v77b0RERCAiIgJxcXENWLn8/rk0xVvCiYiIbiYJIYTcRZS7du0aPDw8sGvXLgwePLjSZR555BHk5+dj06ZNprZ+/fqhe/fu+OKLL267D51OB2dnZ+Tk5ECr1dZZ7Q3tr5NpmLz6MFo1c8D2V4bIXQ4REVG9qs33t0X1ucnJyQEAuLm5VblMdHQ0wsLCzNrCw8MRHR1d6fJ6vR46nc5ssga9A92gkIALGflI07HfDRERUTmLCTdGoxEzZszAgAED0Llz5yqXS01Nhaenp1mbp6cnUlNTK11+/vz5cHZ2Nk1+fn51WrdcnO1U6OTjDICPYiAiIrqZxYSbqVOnIi4uDmvXrq3T7c6ePRs5OTmmKTk5uU63Lyf2uyEiIqrIIsLNtGnTsGnTJuzYsQO+vr7VLuvl5YW0tDSztrS0NHh5eVW6vFqthlarNZusRb9WZZfv+JwpIiKif8gaboQQmDZtGtavX4/t27cjMDDwtuuEhIRg27ZtZm1bt25FSEhIfZVpsXoHuEGpkJB0vQBXswvlLoeIiMgiyBpupk6dim+++QZRUVFwcnJCamoqUlNTUVj4zxd1ZGQkZs+ebXo9ffp0bNmyBQsXLkRCQgLmzp2Lw4cPY9q0aXK8BVk5aVTo3KKs3w0vTREREZWRNdwsXboUOTk5GDJkCLy9vU3T999/b1rm0qVLSElJMb3u378/oqKisGzZMnTr1g3r1q3Dhg0bqu2EbM1Cyp8zxU7FREREACxsnJuGYC3j3JTbeTodT6yIga+rHfa+fq/c5RAREdWLRjvODdVe7wA32CgkXM4qRHJmgdzlEBERyY7hppFzUNugqy/73RAREZVjuLEC/cr73TDcEBERMdxYA9Ngfuevo4l1oSIiIqqA4cYK9PR3hUop4WpOEZIzOd4NERE1bQw3VsDe1gbdfF0AANEXMuQthoiISGYMN1ai/NIUx7shIqKmjuHGSoTc1KmY/W6IiKgpY7ixEj38XWGrVCBNp8fF6xzvhoiImi6GGyuhUSnRvaULAF6aIiKipo3hxoqEcLwbIiIihhtrYhrvhv1uiIioCWO4sSLd/Vxga6PAtVw9zl/Ll7scIiIiWTDcWBGNSomeLV0B8NIUERE1XQw3VubmRzEQERE1RQw3Vob9boiIqKljuLEyXX2doVEpcD2/GGfT8+Quh4iIqMEx3FgZtY0SvfzdAAD7z/E5U0RE1PQw3Fihwe2aAQDW/31F5kqIiIgaHsONFXq4hy9slQocu5yD2ORsucshIiJqUAw3VqiZoxrDu3oDAFZHX5S3GCIiogbGcGOlIkP8AQCbjqfgep5e5mqIiIgaDsONleru54IuLZxRXGrE94eT5S6HiIiowTDcWClJkkxnb749cAkGI8e8ISKipoHhxoqN7OYDV3sVrmQXYtupNLnLISIiahAMN1ZMo1JibG8/AMCaA0kyV0NERNQwGG6s3GN9/SFJwJ6zGTjHEYuJiKgJYLixcn5u9hjawQMA8A3P3hARURPAcNMERIYEAAB+OnIZefpSeYshIiKqZww3TcDANs0Q2MwBufpSPpKBiIisHsNNE6BQSHi8X9lt4WuiL0II3hZORETWi+Gmifh/PX1hp1LiTFoeDlzIlLscIiKiesNw00Q426nwrx4tAABrDlyUtxgiIqJ6xHDThJSPWPxHfBpScgplroaIiKh+MNw0IR28tOgT6AaDUeC7g5fkLoeIiKheMNw0MRNv3BYedSgZxaVGeYshIiKqBww3Tcz9nTzhqVUjI0+PzXEpcpdDRERU5xhumhiVUoFH+5T1vVkdzRGLiYjI+tQq3Bw6dAgGg6HK+Xq9Hj/88MNdF0X1a3wfP9goJBxJykLclRy5yyEiIqpTtQo3ISEhuH79uum1VqvFhQsXTK+zs7Mxfvz4uquO6oWHVoNhXbwBAGt49oaIiKxMrcLNrSPbVjbSLUe/bRzKbwvfEHsF2QXFMldDRERUd+q8z40kSXW9SaoHvfxd0dFbC32pET8evix3OURERHWGHYqbKEmSTGdv1hxIgtHIM25ERGQdbGq7wsmTJ5Gamgqg7BJUQkIC8vLyAAAZGRl1Wx3Vq4e6+2D+76dwKbMAu85cwz0dPOQuiYiI6K7VOtwMHTrUrF/NiBEjAJSdCRBC8LJUI2Jva4Oxvfzw1d5ErIq+yHBDRERWoVbhJjExsb7qIJk81s8fX+1NxK4z13AxIx8BzRzkLomIiOiu1Crc+Pv711cdJJOAZg4Y0r45dp6+hm8OJOHfI4LkLomIiOiu1KpDcUZGBpKSzMdFiY+Px6RJkzB27FhERUXVaXHUMMo7Fv9wOBmFxVUP0khERNQY1CrcvPDCC1i8eLHpdXp6OgYNGoSYmBjo9Xo88cQTWLNmTZ0XSfUrtJ0HWrrZQ1dUio2xV+Quh4iI6K7UKtwcOHAAo0aNMr1evXo13NzcEBsbi40bN2LevHlYsmRJjbe3e/dujBw5Ej4+PpAkCRs2bKh2+Z07d0KSpApT+d1bdGeUCgmP9WsJAFgVncSBGImIqFGrVbhJTU1FQECA6fX27dvx8MMPw8amrOvOqFGjcPbs2RpvLz8/H926datVIAKA06dPIyUlxTR5ePAun7s1tpcf1DYKnErR4UhSltzlEBER3bFadSjWarXIzs42dSw+dOgQnnrqKdN8SZKg1+trvL1hw4Zh2LBhtSkBAODh4QEXF5dar0dVc7G3xUPdffDD4ctYFZ2EXgFucpdERER0R2p15qZfv35YvHgxjEYj1q1bh9zcXNx7772m+WfOnIGfn1+dF3mr7t27w9vbG/fddx/27dtX7bJ6vR46nc5sospFhgQAADafSEG6rkjeYoiIiO5QrcLNO++8g19++QV2dnZ45JFH8Nprr8HV1dU0f+3atQgNDa3zIst5e3vjiy++wE8//YSffvoJfn5+GDJkCI4ePVrlOvPnz4ezs7Npaojw1Vh1buGMHi1dUGoU+O5QstzlEBER3RFJ1LL3aEZGBvbt2wcvLy/07dvXbN5vv/2GoKAgBAYG1r4QScL69esRERFRq/VCQ0PRsmXLKu/S0uv1ZpfKdDod/Pz8kJOTA61WW+s6rd3G2CuYvjYWnlo19r5+L1RKPn6MiIjkp9Pp4OzsXKPv71p9c0VHR+PAgQN46KGHTMFm9erVCAwMhIeHBzZu3AgfH587r/wO9OnTB+fOnatyvlqthlarNZuoasM6e6OZoxppOj3+jE+TuxwiIqJaq/Vlqfj4eNPrEydO4KmnnkJYWBhmzZqFX3/9FfPnz6/zIqsTGxsLb2/vBt2nNbO1UWB8n7JLd6ujL8pbDBER0R2o1d1SsbGxePfdd02v165di759+2L58uUAAD8/P8yZMwdz586t0fby8vLMzrokJiYiNjYWbm5uaNmyJWbPno0rV65g9erVAIBPP/0UgYGB6NSpE4qKivDVV19h+/bt+PPPP2vzNug2Hu3bEp/vPI+DiZlISNWhgxfPdhERUeNRqzM3WVlZ8PT0NL3etWuX2a3cvXv3RnJyzTuiHj58GMHBwQgODgYAzJw5E8HBwXj77bcBACkpKbh06ZJp+eLiYrz88svo0qULQkNDcezYMfz1118YOnRobd4G3Ya3sx3uDyr7nFdHJ91maSIiIstSqw7F/v7+WLNmDQYPHozi4mK4uLjg119/NYWLEydOIDQ0FJmZmfVW8N2qTYekpiz6/HWMX34AdiolDrwxFM52KrlLIiKiJqzeOhQ/+OCDmDVrFvbs2YPZs2fD3t4egwYNMs0/fvw4WrdufWdVk0Xp18oN7TwdUVhiwE9HLstdDhERUY3VKty8++67sLGxQWhoKJYvX47ly5fD1tbWNP/rr7/G/fffX+dFUsOTJAmP3xjU75sDSTAa+bwpIiJqHGo9zg0A5OTkwNHREUql0qw9MzMTjo6OZoHH0vCyVM3l6UvRb9425OlLsfrJPhjcrrncJRERURNVb5elyjk7O1cINgDg5uZm0cGGasdRbYPRPX0BsGMxERE1Hhx+lqr1WL+yh6RuS0hDcmaBzNUQERHdHsMNVauNhyMGtmkGIYBvD166/QpEREQyY7ih24oMKTt7833MJRSVGGSuhoiIqHoMN3RbQzt6ooWLHbIKSrDpeIrc5RAREVWL4YZuS6mQMKFfSwDAqv0XcQc32BERETUYhhuqkUd6+cFWqcCJKzmITc6WuxwiIqIqMdxQjbg7qjGiW9nT19fwtnAiIrJgDDdUY5E3RizedDwFGXl6eYshIiKqAsMN1Vh3Pxd083VGscGI72Nq/vR3IiKihsRwQ7VS/rypbw8kodRglLcYIiKiSjDcUK2M6OoNV3sVruYUYVtCutzlEBERVcBwQ7WiUSkxrk/ZbeGroy/KWwwREVElGG6o1ib0bQmFBOw7dx3n0nPlLoeIiMgMww3Vmq+rPYZ29ATA28KJiMjyMNzQHSl/3tRPR68gT18qczVERET/YLihOzKgdTO0au6APH0p1h+9LHc5REREJgw3dEcUCgmP9ys7e7MqOonPmyIiIovBcEN37P/19IW9rRLn0vMQfeG63OUQEREBYLihu6DVqPCv4BYAgNX72bGYiIgsA8MN3ZXy501tPZWGq9mF8hZDREQEhhu6S+29nNCvlRsMRoGog5fkLoeIiIjhhu5e+dmbtTGXoC81yFsMERE1eQw3dNfuC/KEl1aDjLxibD6RKnc5RETUxDHc0F1TKRV4tC+fN0VERJaB4YbqxLg+flApJRy9lI24Kzlyl0NERE0Yww3VCQ8nDYZ19gbAszdERCQvhhuqMxP7l41YvDH2KrLyi2WuhoiImiqGG6ozPVq6IshbC32pET8cTpa7HCIiaqIYbqjOSJJkOnvzzcEkGIx83hQRETU8hhuqU6O6tYCznQrJmYXYeTpd7nKIiKgJYrihOmVnq8TYXr4AgNXRfN4UERE1PIYbqnOP9fOHJAG7zlxDYka+3OUQEVETw3BDdc7f3QFD2jUHAHxzgGdviIioYTHcUL2I7B8AAPjhcDIKikvlLYaIiJoUhhuqF6Ftm8Pf3R65RaXYGHtV7nKIiKgJYbiheqFQSHi8X9lt4av2X4QQvC2ciIgaBsMN1ZsxPf2gUSmQkJqLdUcuy10OERE1EQw3VG+c7VV4LrQNAODNDXH4+1KWzBUREVFTwHBD9eqFe9vgviBPFJca8cyaI0jTFcldEhERWTmGG6pXCoWETx7pjnaejkjP1ePpNUdQVGKQuywiIrJiDDdU7xzVNlge2Qsu9iocS87GG+tPsIMxERHVG4YbahD+7g5Y8mgPKBUSfj56Bf/bmyh3SUREZKUYbqjBDGjTDG8+2BEAMO/3U9h15prMFRERkTViuKEGNWlAAMb09IVRAC9EHeWzp4iIqM4x3FCDkiQJ7/2rM3q0dIGuqBRTVh9GblGJ3GUREZEVkTXc7N69GyNHjoSPjw8kScKGDRtuu87OnTvRo0cPqNVqtGnTBitXrqz3OqluqW2U+OKxnvDSanAuPQ8z1sbCYGQHYyIiqhuyhpv8/Hx069YNS5YsqdHyiYmJGD58OO655x7ExsZixowZmDx5Mv744496rpTqmodWgy8f7wlbGwW2JaRj4Z+n5S6JiIishCQs5J5cSZKwfv16REREVLnM66+/jt9++w1xcXGmtnHjxiE7Oxtbtmyp0X50Oh2cnZ2Rk5MDrVZ7t2XTXdrw9xXM+D4WAPDZ+GCM7OYjb0FERGSRavP93aj63ERHRyMsLMysLTw8HNHR0VWuo9frodPpzCayHBHBLfDM4FYAgFfXHUPclRyZKyIiosauUYWb1NRUeHp6mrV5enpCp9OhsLCw0nXmz58PZ2dn0+Tn59cQpVItvPZAB4S2a46iEiOeXn0Y13L1cpdERESNWKMKN3di9uzZyMnJMU3Jyclyl0S3UCokLB4fjFbNHHA1pwjPfXMExaVGucsiIqJGqlGFGy8vL6SlpZm1paWlQavVws7OrtJ11Go1tFqt2USWx9lOheUTe8FJbYPDSVmY80scH9FARER3pFGFm5CQEGzbts2sbevWrQgJCZGpIqpLrZs7YvH4YEgS8N2hZHxzIEnukoiIqBGSNdzk5eUhNjYWsbGxAMpu9Y6NjcWlS5cAlF1SioyMNC3/7LPP4sKFC3jttdeQkJCAzz//HD/88ANeeuklOcqnenBPBw+8Ft4BAPB/v55E9PnrMldERESNjazh5vDhwwgODkZwcDAAYObMmQgODsbbb78NAEhJSTEFHQAIDAzEb7/9hq1bt6Jbt25YuHAhvvrqK4SHh8tSP9WPZ0Nb4aHuPig1Cjz/7REkZxbIXRIRETUiFjPOTUPhODeNQ1GJAWO+iMaJKzno4OWEn57rDwe1jdxlERGRTKx2nBtqOjQqJZZF9kQzRzUSUnPxyo/HYOQjGoiIqAYYbshieTvb4YvHekCllLA5LhWfbT8nd0lERNQIMNyQResV4Ib3IjoDAD756wy2xKXKXBEREVk6hhuyeI/0bokn+gcAAGb+EIuEVD5Cg4iIqsZwQ43Cm8M7on9rdxQUGzBl9WFk5RfLXRIREVkohhtqFFRKBZY82gN+bnZIzizE1KijKDHwEQ1ERFQRww01Gq4Otlge2Qv2tkrsP38d7/92Su6SiIjIAjHcUKPSwUuLj8d2BwCs3H8R38dcqn4FIiJqchhuqNF5oLMXZoS1BQD8e0McjiRlylwRERFZEoYbapRevLcthnX2QolB4Jk1R3E1u1DukoiIyEIw3FCjpFBI+M+Ybujg5YSMPD2eWXMERSUGucsiIiILwHBDjZaD2gbLI3vB1V6FE1dy8PpPx9HEHpVGRESVYLihRs3PzR5LJvSAUiFhY+xVfLn7gtwlERGRzBhuqNHr37oZ5owMAgAs2JKAHQnpMldERERyYrghq/B4P3+M7+MHIYAXv/sb59Lz5C6JiIhkwnBDVkGSJPzfqM7o5e+KXH0pnl59GDmFJXKXRUREMmC4Iatha6PA0sd6wsdZgwsZ+Xjxu79hMLKDMRFRU8NwQ1aluZMayyJ7QaNSYNeZa/hwS4LcJRERUQNjuCGr07mFMz4c3Q0A8OXuC9jw9xWZKyIioobEcENWaVQ3Hzw3pDUA4PWfjuP45Wx5CyIiogbDcENW65X72+PeDh7Qlxrx9OojSNcVyV0SERE1AIYbslpKhYRPx3VH6+YOSNUV4dlvjkBfykc0EBFZO4YbsmpajQpfTewNrcYGRy9lY8baWGQXFMtdFhER1SOGG7J6gc0c8NmjPaCQgM1xqbh34S78cDgZRt4mTkRklRhuqEkIbdcca58OQTtPR2TmF+O1dccx9stonErRyV0aERHVMYYbajL6BLrhtxcHYfawDrBTKXE4KQsjPtuL9zadRJ6+VO7yiIiojjDcUJOiUirwTGhrbHs5FA908oLBKPDV3kQMXbgTvx1PgRC8VEVE1Ngx3FCT5ONihy8e74kVT/RGSzd7pOn0mBp1FJFfH0JiRr7c5RER0V1guKEm7Z4OHvjzpcF4cWhb2CoV2HM2A+Gf7MbHW8+gqIS3jRMRNUYMN9TkaVRKzLyvHf54aTAGtW2GYoMRi7edRfinu7HjdLrc5RERUS0x3BDdENjMAauf7IPPJ/SAl1aDpOsFmLQiBs99cwRXswvlLo+IiGqI4YboJpIk4cEu3vjr5VBMGRQIpULC5rhUhH28C8t2n0eJwSh3iUREdBuSaGK3h+h0Ojg7OyMnJwdarVbucsjCJaTq8O/1cTiclAUAaOfpiPciuqBPoJvMlRERNS21+f7mmRuianTw0uKHZ0Lw0eiucHOwxZm0PIz9Mhozf4hFRp5e7vKIiKgSDDdEt6FQSBjTyw/bXw7F+D4tIUnAz0ev4N7/7MSaA0kw8DEOREQWhZeliGrp6KUsvLUhDvFXyx7d0NXXGe9FdEZXXxd5CyMismK1+f5muCG6A6UGI745kISFf55Brr4UkgQ81tcfr4S3h7OdSu7yiIisDvvcENUzG6UCTwwIxLaXQ/FQdx8IAaw5kIShC3fi56OX+RgHIiIZ8cwNUR3Yfy4D/94YhwvXyh7d0DfQDe9FdEZbTyeZKyMisg48c0PUwPq3aYYt0wfj1fD20KgUOJiYiWGL9uCDzQkoKOYTx4mIGhLDDVEdsbVRYOo9bbD1pVCEdfREqVHgi13nEbZwF/6IT+WlKiKiBsJwQ1TH/Nzs8dXEXlge2QstXOxwNacIz6w5gqdWHcal6wVyl0dEZPUYbojqyX1BnvhrZiim3tMaKqWE7QnpuO+TXfhs21noS/nEcSKi+sJwQ1SP7GyVeDW8AzZPH4z+rd2hLzVi4dYzeODTPdh7NkPu8oiIrBLDDVEDaOPhiG8n98Wicd3R3EmNxIx8PPa/g5ix9m9cy+VjHIiI6hLDDVEDkSQJD3VvgW0vh2JiiD8kCdgQexVDF+5E1MFLMPIxDkREdYLj3BDJ5FhyNt5Yf8L0GIee/q54/1+d0cGLfy6JiG7FcW6IGoFufi7YOHUA3hoRBHtbJY4kZWHE4r34YHMCCovZ4ZiI6E4x3BDJyEapwFMDA/HXzFDcH/TP2Dj3fbILOxLS5S6PiKhRsohws2TJEgQEBECj0aBv3744dOhQlcuuXLkSkiSZTRqNpgGrJap7Pi52WBZZNjaOj7MGl7MKMWllDJ7/9gjSdEVyl0dE1KjIHm6+//57zJw5E3PmzMHRo0fRrVs3hIeHIz296v+1arVapKSkmKakpKQGrJio/twX5ImtM0MxZVAglAoJv59IxdCFu7Bq/0UY2OGYiKhGZA83H3/8MaZMmYJJkyYhKCgIX3zxBezt7fH1119XuY4kSfDy8jJNnp6eDVgxUf1yUNvgzeFB+GXaAHTzc0GevhRzfonHw5/vQ9yVHLnLIyKyeLKGm+LiYhw5cgRhYWGmNoVCgbCwMERHR1e5Xl5eHvz9/eHn54eHHnoI8fHxDVEuUYPq5OOMn5/rj3cf6gQntQ2OXc7BqP/uxTu/nkSeng/jJCKqiqzhJiMjAwaDocKZF09PT6Smpla6Tvv27fH1119j48aN+Oabb2A0GtG/f39cvny50uX1ej10Op3ZRNRYKBUSHg8JwLaXQzGiqzeMAvh6XyLu+7jsYZxERFSR7JelaiskJASRkZHo3r07QkND8fPPP6N58+b48ssvK11+/vz5cHZ2Nk1+fn4NXDHR3fPQavDfR3tg1ZN94Odmh5QbD+OcvOowrmQXyl0eEZFFkTXcNGvWDEqlEmlpaWbtaWlp8PLyqtE2VCoVgoODce7cuUrnz549Gzk5OaYpOTn5rusmkktou+b4c0Yonh/SGjYKCX+dSsN9H+/C8t0XUGowyl0eEZFFkDXc2NraomfPnti2bZupzWg0Ytu2bQgJCanRNgwGA06cOAFvb+9K56vVami1WrOJqDGzs1XitQc64Pfpg9A7wBUFxQa8//spjPrvPsQmZ8tdHhGR7GS/LDVz5kwsX74cq1atwqlTp/Dcc88hPz8fkyZNAgBERkZi9uzZpuXfeecd/Pnnn7hw4QKOHj2Kxx57DElJSZg8ebJcb4FIFu08nfD90yFY8P+6wNlOhZMpOvzr8314a0McdEUlcpdHRCQbG7kLeOSRR3Dt2jW8/fbbSE1NRffu3bFlyxZTJ+NLly5Bofgng2VlZWHKlClITU2Fq6srevbsif379yMoKEiut0AkG4VCwiO9W2JoR0/M++0Ufv77CtYcSMKW+FS8PSIII7p6Q5IkucskImpQfHAmkRXZfy4D/94QhwsZ+QDK+ui8+1BntHS3l7kyIqK7wwdnEjVR/ds0w+YZgzAjrC1slQrsOnMN932yC0t2nENxKTscE1HTwHBDZGXUNkrMCGuHLTMGoX9rd+hLjfjoj9MY8dkexFzMlLs8IqJ6x3BDZKVaNXfEt5P74uOx3eDuYIszaXkY80U0Zv10HNkFxXKXR0RUbxhuiKyYJEl4uIcvtr0cinG9ywawXBuTjKELd+Hno5fRxLrcEVETwXBD1AS42Nvig//XFT8+G4J2no64nl+MmT8cw4SvDuL8tTy5yyMiqlO8W4qoiSkuNeKrvReweNtZFJWUdTJu6WaPTj5adG7hbPrZzFEtc6VERP+ozfc3ww1RE3XpegHm/hqP7Qnplc730mrQuYUWnXz+CTzezhqOm0NEsmC4qQbDDZG57IJinLyqQ9zVHMRd0SH+ag4uZOSjsn8Z3BxsTUGns48zOrfQoqWbPQMPEdU7hptqMNwQ3V6+vhSnUnSIu5KDuKtlP8+m58FgrPjPhZPaBkHlgaeFFp19nNGquSOUCgYeIqo7DDfVYLghujNFJQacTs1F/I2zPPFXcnAqNbfSwQE1KgU6emtNZ3c6+TijnacTbG14DwMR3RmGm2ow3BDVnRKDEefS8xB3JQfxV8suacVf1aGg2FBhWZVSQnsvJ3S+0YenUwtndPTSws5WKUPlRNTYMNxUg+GGqH4ZjAIXr+ebAk/5z5zCik8qV0hAGw/HssDTwhltPRzh62oHHxc7aFQMPUT0D4abajDcEDU8IQQuZxUi/kan5bLOyznIyKt6pGRPrRq+rvbwdbW7Mdmbfvq4aKC2YfghakoYbqrBcENkGYQQSM/V/xN4ruTg4vV8XM4qrPSy1q0YfoiaFoabajDcEFk2IQSyCkpwOasAl7MKb/pZ9ntyZiEKSxh+iJqa2nx/2zRQTURENSJJEtwcbOHmYIuuvi4V5tc0/KTp9EjT6XEkKavS/TD8EFkvhhsialQaIvxIEtDBS4s+Aa7oE+iO3oGu8HDSNMC7I6K6wMtSRNSkCCGQmV9sFnhuDUGVXfYKbOaAPgFu6B3ohr6BbvB1tePIzEQNiH1uqsFwQ0TVKe/ofCQpC4cSM3EwMRMJqboKj6Pw0mrQJ9DNNLVp7ggFR2UmqjcMN9VguCGi2sopLMGRpEwcSszCocTrOH45B6W3PIrC1V6FXgFlZ3V6B7ihk48WNkqOyExUVxhuqsFwQ0R3q7DYgL+Ty87sHErMxNFLWSgqMX8MhYOtEj38XdEnoOzMTjc/Fw5MSHQXGG6qwXBDRHWtuNSIuKs5iLkRdmIuZkJXVGq2jK1SgW5+zuh9I+z09HeFk0YlU8VEjQ/DTTUYboiovhmNAqfTcsvO7FwsCzzXcvVmyygkIMhHiz4B7ugT6IreAW5wd1TLVDGR5WO4qQbDDRE1NCEELl4vQMyNDsoxFzNxKbOgwnJtPBzRu7zfTqAbWrjYyVAtkWViuKkGww0RWYLUnKIbZ3Wu41BiJs6k5VVYpoWLHXr4u8LHWYPmTmp4aDXwcFLD88ZPBzWHKqOmg+GmGgw3RGSJsvKLEXOx7KzOocRMxF3VwWCs/p9nB1slPLRlwac88Hg4qeGhVcPDSQNPrRrNnTTQamw4Jg81egw31WC4IaLGIF9fiqOXshB/VYd0nR7puUVIz9XjWq4eabqiGj1ctJzaRmEKPOVnfpqbgtA/ba72KoYgslgMN9VguCEia5CnL0W6rizwpOfq//n9lrZb79qqjkopobmjGs1NgeefQGQKR1o13B3UUHLAQmpgfHAmEZGVc1TbwLG5I1o1d6x2uaISg9mZn3RdEdJy9aa2azeCUGZ+MUoMAldzinA1p6jabSoVZSHo5stf5T89tRpTu7uDLUdtJlkw3BARWTGNSomW7vZo6W5f7XLFpUZcy6t45scsGOXqkZGnh8EokKorQqquCEBOldu0UUhml79uDkE3Xw5zs2cIorrFcENERLC1UaCFi91tbz8vNRiRkVeMtBshKE1XZApEaboipOnKQtD1fD1KjQIpOUVIyalhCNJq4HnjEpink6asb5DpdzVcGYKohhhuiIioxmyUCng5a+DlrKl2uRKDERl5ZZe/0m5cCrt2I/yk5f5zRigjr/iWEFTNvhUSPJzK+gS52qvgpFFBq7GB1k4FJ40NtJobP+1U0N40T6tRQaNSsLN0E8JwQ0REdU6lVMDb2Q7eztWfCSoPQWk3QpCpX5DpbFDZ6+v5ZSGoJn2CKmOjkMxCkNbOBk7qGz81qn/aboQipxuvtTfmOWps2Im6EWG4ISIi2dQ0BBWXloegstCTU1iC3KJS6ApLoCv65/fcolLoiszbjAIoNQpk5hcjM7/4jmt1UtuYzgzdfKbIXm0DB1sl7GzLftrbKmFvawMH9c1tNmXt6hu/q5S8xFaPGG6IiMji2doo4ONiB59aPpJCCIGCYoNZ2DH//UYYKixFblHZ69yiEtO83KIS0xPfc/WlyNWX3tGZo8rYqZSmwONgawM725t/KmGvLgtB5eHJ3iwklQeqsnXs1UpoVErYKhWwVSqafHBiuCEiIqslSRIc1DZwUNvA2/nOtlFcarwl+JTeCEhlvxcUG1BQUooCvQH5xaUoLDYgv9iAwuJS5OsNKCi+sUxx2fzy0eUKSwwoLDHgen7dvd9yKqVUFnRsbpqUCtjaKGFro4BaeWu7+Wt1NfNsbW6er6x0nr2tUtYHwTLcEBERVcPWRgF3R3WdfFkLIaAvNSJfbx54Cm4JQQXlwaiS0FRgWrfy0AQAJQaBEkPZ8nLo5ueCjVMHyLJvgOGGiIiowUiSBI2q7BKSex1uVwiBYoMRxaU3ppt+19/yusL8CvMMZsvpq1ivun3YqRR1+O5qj+GGiIiokZMkCWobJdQ2SrlLsQjyRisiIiKiOsZwQ0RERFaF4YaIiIisCsMNERERWRWGGyIiIrIqDDdERERkVRhuiIiIyKow3BAREZFVYbghIiIiq8JwQ0RERFaF4YaIiIisCsMNERERWRWGGyIiIrIqDDdERERkVWzkLqChCSEAADqdTuZKiIiIqKbKv7fLv8er0+TCTW5uLgDAz89P5kqIiIiotnJzc+Hs7FztMpKoSQSyIkajEVevXoWTkxMkSarTbet0Ovj5+SE5ORlarbZOt91Y8ZhUjselIh6TinhMKsfjUlFTOCZCCOTm5sLHxwcKRfW9aprcmRuFQgFfX9963YdWq7XaP1x3isekcjwuFfGYVMRjUjkel4qs/Zjc7oxNOXYoJiIiIqvCcENERERWheGmDqnVasyZMwdqtVruUiwGj0nleFwq4jGpiMekcjwuFfGYmGtyHYqJiIjIuvHMDREREVkVhhsiIiKyKgw3REREZFUYboiIiMiqMNzcpfnz56N3795wcnKCh4cHIiIicPr0abnLsjgffPABJEnCjBkz5C5FVleuXMFjjz0Gd3d32NnZoUuXLjh8+LDcZcnGYDDgrbfeQmBgIOzs7NC6dWu8++67NXp2jDXZvXs3Ro4cCR8fH0iShA0bNpjNF0Lg7bffhre3N+zs7BAWFoazZ8/KU2wDqe6YlJSU4PXXX0eXLl3g4OAAHx8fREZG4urVq/IV3EBu92flZs8++ywkScKnn37aYPVZCoabu7Rr1y5MnToVBw4cwNatW1FSUoL7778f+fn5cpdmMWJiYvDll1+ia9eucpciq6ysLAwYMAAqlQqbN2/GyZMnsXDhQri6uspdmmwWLFiApUuX4r///S9OnTqFBQsW4MMPP8Rnn30md2kNKj8/H926dcOSJUsqnf/hhx9i8eLF+OKLL3Dw4EE4ODggPDwcRUVFDVxpw6numBQUFODo0aN46623cPToUfz88884ffo0Ro0aJUOlDet2f1bKrV+/HgcOHICPj08DVWZhBNWp9PR0AUDs2rVL7lIsQm5urmjbtq3YunWrCA0NFdOnT5e7JNm8/vrrYuDAgXKXYVGGDx8unnzySbO2hx9+WEyYMEGmiuQHQKxfv9702mg0Ci8vL/HRRx+Z2rKzs4VarRbfffedDBU2vFuPSWUOHTokAIikpKSGKcoCVHVcLl++LFq0aCHi4uKEv7+/+OSTTxq8NrnxzE0dy8nJAQC4ubnJXIllmDp1KoYPH46wsDC5S5HdL7/8gl69emHMmDHw8PBAcHAwli9fLndZsurfvz+2bduGM2fOAACOHTuGvXv3YtiwYTJXZjkSExORmppq9nfI2dkZffv2RXR0tIyVWZacnBxIkgQXFxe5S5GV0WjE448/jldffRWdOnWSuxzZNLkHZ9Yno9GIGTNmYMCAAejcubPc5chu7dq1OHr0KGJiYuQuxSJcuHABS5cuxcyZM/HGG28gJiYGL774ImxtbTFx4kS5y5PFrFmzoNPp0KFDByiVShgMBrz//vuYMGGC3KVZjNTUVACAp6enWbunp6dpXlNXVFSE119/HePHj7fqh0bWxIIFC2BjY4MXX3xR7lJkxXBTh6ZOnYq4uDjs3btX7lJkl5ycjOnTp2Pr1q3QaDRyl2MRjEYjevXqhXnz5gEAgoODERcXhy+++KLJhpsffvgB3377LaKiotCpUyfExsZixowZ8PHxabLHhGqnpKQEY8eOhRACS5culbscWR05cgSLFi3C0aNHIUmS3OXIipel6si0adOwadMm7NixA76+vnKXI7sjR44gPT0dPXr0gI2NDWxsbLBr1y4sXrwYNjY2MBgMcpfY4Ly9vREUFGTW1rFjR1y6dEmmiuT36quvYtasWRg3bhy6dOmCxx9/HC+99BLmz58vd2kWw8vLCwCQlpZm1p6Wlmaa11SVB5ukpCRs3bq1yZ+12bNnD9LT09GyZUvTv7tJSUl4+eWXERAQIHd5DYpnbu6SEAIvvPAC1q9fj507dyIwMFDukizC0KFDceLECbO2SZMmoUOHDnj99dehVCplqkw+AwYMqDBMwJkzZ+Dv7y9TRfIrKCiAQmH+fyylUgmj0ShTRZYnMDAQXl5e2LZtG7p37w4A0Ol0OHjwIJ577jl5i5NRebA5e/YsduzYAXd3d7lLkt3jjz9eoX9jeHg4Hn/8cUyaNEmmquTBcHOXpk6diqioKGzcuBFOTk6ma+DOzs6ws7OTuTr5ODk5Veh35ODgAHd39ybbH+mll15C//79MW/ePIwdOxaHDh3CsmXLsGzZMrlLk83IkSPx/vvvo2XLlujUqRP+/vtvfPzxx3jyySflLq1B5eXl4dy5c6bXiYmJiI2NhZubG1q2bIkZM2bgvffeQ9u2bREYGIi33noLPj4+iIiIkK/oelbdMfH29sbo0aNx9OhRbNq0CQaDwfRvr5ubG2xtbeUqu97d7s/KrSFPpVLBy8sL7du3b+hS5SX37VqNHYBKpxUrVshdmsVp6reCCyHEr7/+Kjp37izUarXo0KGDWLZsmdwlyUqn04np06eLli1bCo1GI1q1aiXefPNNodfr5S6tQe3YsaPSf0cmTpwohCi7Hfytt94Snp6eQq1Wi6FDh4rTp0/LW3Q9q+6YJCYmVvlv744dO+QuvV7d7s/KrZrqreCSEE1sKFAiIiKyauxQTERERFaF4YaIiIisCsMNERERWRWGGyIiIrIqDDdERERkVRhuiIiIyKow3BAREZFVYbghIiIiq8JwQ0RVunjxIiRJQmxsrNylmCQkJKBfv37QaDSmZy3VhiW+p7v1v//9D/fff3+t1+vXrx9++umneqiISF4MN0QW7IknnoAkSfjggw/M2jds2ABJkmSqSl5z5syBg4MDTp8+jW3btsldDlauXAkXFxfZ9l9UVIS33noLc+bMMWvX6XR488030aFDB2g0Gnh5eSEsLAw///wzygem//e//41Zs2bxQaVkdRhuiCycRqPBggULkJWVJXcpdaa4uPiO1z1//jwGDhwIf39/q3oStMFguKOQsW7dOmi1WgwYMMDUlp2djf79+2P16tWYPXs2jh49it27d+ORRx7Ba6+9hpycHADAsGHDkJubi82bN9fZ+yCyBAw3RBYuLCwMXl5emD9/fpXLzJ07t8Ilmk8//RQBAQGm10888QQiIiIwb948eHp6wsXFBe+88w5KS0vx6quvws3NDb6+vlixYkWF7SckJKB///7QaDTo3Lkzdu3aZTY/Li4Ow4YNg6OjIzw9PfH4448jIyPDNH/IkCGYNm0aZsyYgWbNmiE8PLzS92E0GvHOO+/A19cXarUa3bt3x5YtW0zzJUnCkSNH8M4770CSJMydO7fK7Xz44Ydo06YN1Go1WrZsiffff7/SZSs783LrmbFjx47hnnvugZOTE7RaLXr27InDhw9j586dmDRpEnJyciBJkllNer0er7zyClq0aAEHBwf07dsXO3furLDfX375BUFBQVCr1bh06RJ27tyJPn36wMHBAS4uLhgwYACSkpIqrR0A1q5di5EjR5q1vfHGG7h48SIOHjyIiRMnIigoCO3atcOUKVMQGxsLR0dHAIBSqcSDDz6ItWvXVrl9osaI4YbIwimVSsybNw+fffYZLl++fFfb2r59O65evYrdu3fj448/xpw5czBixAi4urri4MGDePbZZ/HMM89U2M+rr76Kl19+GX///TdCQkIwcuRIXL9+HUDZWYJ7770XwcHBOHz4MLZs2YK0tDSMHTvWbBurVq2Cra0t9u3bhy+++KLS+hYtWoSFCxfiP//5D44fP47w8HCMGjUKZ8+eBQCkpKSgU6dOePnll5GSkoJXXnml0u3Mnj0bH3zwAd566y2cPHkSUVFR8PT0vOPjNmHCBPj6+iImJgZHjhzBrFmzoFKp0L9/f3z66afQarVISUkxq2natGmIjo7G2rVrcfz4cYwZMwYPPPCA6b0AQEFBARYsWICvvvoK8fHxcHNzQ0REBEJDQ3H8+HFER0fj6aefrvYS5N69e9GrVy/Ta6PRiLVr12LChAnw8fGpsLyjoyNsbGxMr/v06YM9e/bc8bEhskgyP5WciKoxceJE8dBDDwkhhOjXr5948sknhRBCrF+/Xtz813fOnDmiW7duZut+8sknwt/f32xb/v7+wmAwmNrat28vBg0aZHpdWloqHBwcxHfffSeEECIxMVEAEB988IFpmZKSEuHr6ysWLFgghBDi3XffFffff7/ZvpOTkwUAcfr0aSGEEKGhoSI4OPi279fHx0e8//77Zm29e/cWzz//vOl1t27dxJw5c6rchk6nE2q1WixfvrzS+eXv6e+//xZCCLFixQrh7Oxstsytx9fJyUmsXLmy0u1Vtn5SUpJQKpXiypUrZu1Dhw4Vs2fPNq0HQMTGxprmX79+XQAQO3furPL93SwrK0sAELt37za1paWlCQDi448/rtE2Nm7cKBQKhdmfC6LGjmduiBqJBQsWYNWqVTh16tQdb6NTp05QKP75a+/p6YkuXbqYXiuVSri7uyM9Pd1svZCQENPvNjY26NWrl6mOY8eOYceOHXB0dDRNHTp0AFDWP6Zcz549q61Np9Ph6tWrZn1HAGDAgAG1es+nTp2CXq/H0KFDa7zO7cycOROTJ09GWFgYPvjgA7P3VZkTJ07AYDCgXbt2Zsdl165dZuva2tqia9euptdubm544oknEB4ejpEjR2LRokVISUmpcj+FhYUAyvpllRM3OgvXlJ2dHYxGI/R6fa3WI7JkDDdEjcTgwYMRHh6O2bNnV5inUCgqfKmVlJRUWE6lUpm9liSp0rbadGzNy8vDyJEjERsbazadPXsWgwcPNi3n4OBQ423eDTs7u1otX5NjN3fuXMTHx2P48OHYvn07goKCsH79+iq3mZeXB6VSiSNHjpgdk1OnTmHRokVmtd56yWnFihWIjo5G//798f3336Ndu3Y4cOBApftxd3eHJElmnc2bN28OFxcXJCQk1Oj9Z2ZmwsHBodbHjciSMdwQNSIffPABfv31V0RHR5u1N2/eHKmpqWZf0nU5jsvNX66lpaU4cuQIOnbsCADo0aMH4uPjERAQgDZt2phNtQk0Wq0WPj4+2Ldvn1n7vn37EBQUVOPttG3bFnZ2djW+Tbx58+bIzc1Ffn6+qa2yY9euXTu89NJL+PPPP/Hwww+bOl7b2trCYDCYLRscHAyDwYD09PQKx8TLy+u2NQUHB2P27NnYv38/OnfujKioqEqXs7W1RVBQEE6ePGlqUygUGDduHL799ltcvXq1wjp5eXkoLS01vY6Li0NwcPBtayJqTBhuiBqRLl26YMKECVi8eLFZ+5AhQ3Dt2jV8+OGHOH/+PJYsWVKnt/cuWbIE69evR0JCAqZOnYqsrCw8+eSTAICpU6ciMzMT48ePR0xMDM6fP48//vgDkyZNqvClfzuvvvoqFixYgO+//x6nT5/GrFmzEBsbi+nTp9d4GxqNBq+//jpee+01rF69GufPn8eBAwfwv//9r9Ll+/btC3t7e7zxxhs4f/48oqKisHLlStP8wsJCTJs2DTt37kRSUhL27duHmJgYU7gLCAhAXl4etm3bhoyMDBQUFKBdu3aYMGECIiMj8fPPPyMxMRGHDh3C/Pnz8dtvv1VZe2JiImbPno3o6GgkJSXhzz//xNmzZ037qkx4eDj27t1r1vb+++/Dz88Pffv2xerVq3Hy5EmcPXsWX3/9NYKDg5GXl2dads+ePXc0ACCRRZO3yw8RVefmDsXlEhMTha2trbj1r+/SpUuFn5+fcHBwEJGRkeL999+v0KH41m2FhoaK6dOnm7X5+/uLTz75xLQvACIqKkr06dNH2NraiqCgILF9+3azdc6cOSP+9a9/CRcXF2FnZyc6dOggZsyYIYxGY5X7qYzBYBBz584VLVq0ECqVSnTr1k1s3rzZbJnbdSgu3857770n/P39hUqlEi1bthTz5s0ze0/lHYqFKOtA3KZNG2FnZydGjBghli1bZjq+er1ejBs3Tvj5+QlbW1vh4+Mjpk2bJgoLC03rP/vss8Ld3V0AMNVWXFws3n77bREQECBUKpXw9vYW//rXv8Tx48eFEJV3RE5NTRURERHC29tb2NraCn9/f/H2229X29k3Pj5e2NnZiezsbLP27OxsMWvWLNG2bVtha2srPD09RVhYmFi/fr3pc7l8+bJQqVQiOTm52uNJ1NhIQtSy9xkREVmUMWPGoEePHpX2x6rO66+/jqysLCxbtqyeKiOSBy9LERE1ch999JFpYL7a8PDwwLvvvlsPFRHJi2duiIiIyKrwzA0RERFZFYYbIiIisioMN0RERGRVGG6IiIjIqjDcEBERkVVhuCEiIiKrwnBDREREVoXhhoiIiKwKww0RERFZlf8PWoWoj8o5NLkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1250, 3])\n",
      "类内间距:  40.099937438964844\n",
      "类外间距:  224.63951110839844\n",
      "聚类效果评价参数:  5.601991560468564\n",
      "optimal C-value with BGR1x1: 2\n",
      "HSV1x1特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 177.41it/\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1250, 3])\n",
      "类内间距:  40.099937438964844\n",
      "类外间距:  224.63951110839844\n",
      "聚类效果评价参数:  5.601991560468564\n",
      "optimal C-value with HSV1x1: 2\n",
      "BGR3x3特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 129.05it/\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1250, 27])\n",
      "类内间距:  128.14303588867188\n",
      "类外间距:  648.260986328125\n",
      "聚类效果评价参数:  5.058885813282286\n",
      "optimal C-value with BGR3x3: 2\n",
      "HSV3x3特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 124.84it/\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1250, 27])\n",
      "类内间距:  166.63111877441406\n",
      "类外间距:  389.54180908203125\n",
      "聚类效果评价参数:  2.337749466889163\n",
      "optimal C-value with HSV3x3: 2\n",
      "HOG特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 112.42it/\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1830, 36])\n",
      "类内间距:  0.4455295205116272\n",
      "类外间距:  0.4068683087825775\n",
      "聚类效果评价参数:  0.913224130053935\n",
      "optimal C-value with HOG: 2\n"
     ]
    }
   ],
   "source": [
    "# 基于领域知识\n",
    "print(\"BGR1x1特征聚类分析:\")\n",
    "optimal_c_bgr1x1 = optimal_c_value(features_bgr1x1)\n",
    "kmeans_bgr1x1, labels_bgr1x1 = Kmeans(features_bgr1x1, optimal_c_bgr1x1)\n",
    "print(f\"optimal C-value with BGR1x1: {optimal_c_bgr1x1}\")\n",
    "\n",
    "print(\"HSV1x1特征聚类分析:\")\n",
    "optimal_c_bgr1x1 = optimal_c_value(features_bgr1x1)\n",
    "kmeans_bgr1x1, labels_bgr1x1 = Kmeans(features_bgr1x1, optimal_c_bgr1x1)\n",
    "print(f\"optimal C-value with HSV1x1: {optimal_c_bgr1x1}\")\n",
    "\n",
    "print(\"BGR3x3特征聚类分析:\")\n",
    "optimal_c_bgr3x3 = optimal_c_value(features_bgr3x3)\n",
    "kmeans_bgr3x3, labels_bgr3x3 = Kmeans(features_bgr3x3, optimal_c_bgr3x3)\n",
    "print(f\"optimal C-value with BGR3x3: {optimal_c_bgr3x3}\")\n",
    "\n",
    "print(\"HSV3x3特征聚类分析:\")\n",
    "optimal_c_hsv3x3 = optimal_c_value(features_hsv3x3)\n",
    "kmeans_hsv3x3, labels_hsv3x3 = Kmeans(features_hsv3x3, optimal_c_hsv3x3)\n",
    "print(f\"optimal C-value with HSV3x3: {optimal_c_hsv3x3}\")\n",
    "\n",
    "print(\"HOG特征聚类分析:\")\n",
    "optimal_c_hog = optimal_c_value(features_hog)\n",
    "kmeans_hog, labels_hog = Kmeans(features_hog, optimal_c_hog)\n",
    "print(f\"optimal C-value with HOG: {optimal_c_hog}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ab0aa9df-b709-4dca-a19a-9d9f9d12fa8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PCA特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:01<00:00, 10.80it/s\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([125000, 2])\n",
      "类内间距:  0.5797455310821533\n",
      "类外间距:  3.252089262008667\n",
      "聚类效果评价参数:  5.609511566114732\n",
      "optimal C-value with PCA: 2\n",
      "字典特征聚类分析:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating optimal C: 100%|█| 14/14 [00:00<00:00, 137.31it/\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "features.shape:  torch.Size([1922, 64])\n",
      "类内间距:  1298.5692138671875\n",
      "类外间距:  7720.0205078125\n",
      "聚类效果评价参数:  5.945020431234459\n",
      "optimal C-value with DicL: 2\n"
     ]
    }
   ],
   "source": [
    "#基于数据驱动\n",
    "print(\"PCA特征聚类分析:\")\n",
    "optimal_c_pca = optimal_c_value(features_pca)\n",
    "kmeans_pca, labels_pca = Kmeans(features_pca, optimal_c_pca)\n",
    "print(f\"optimal C-value with PCA: {optimal_c_pca}\")\n",
    "\n",
    "print(\"字典特征聚类分析:\")\n",
    "optimal_c_DicL = optimal_c_value(features_DicL)\n",
    "kmeans_DicL, labels_DicL = Kmeans(features_DicL, optimal_c_DicL)\n",
    "print(f\"optimal C-value with DicL: {optimal_c_DicL}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46346c1f-8e2d-4cc6-a25f-b0c707dad82d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fcd44a87-665f-4238-851f-71fc40f631f0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcee0cbc-2a14-457a-ad30-512f0df7102a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
